Admission laboratory parameters for early risk stratification after aneurysmal subarachnoid hemorrhage: a machine learning analysis of real-world data
- DOI
- 10.1016/j.bas.2026.106270
- Published
- 2026
- Container
- Brain and Spine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.bas.2026.106270,
title = {Admission laboratory parameters for early risk stratification after aneurysmal subarachnoid hemorrhage: a machine learning analysis of real-world data},
author = {Anton Früh and Nora Dengler and Cihat Karadag and Paul Pöser and Peter Vajkoczy and Stefan Wolf},
year = {2026},
journal = {Brain and Spine},
doi = {10.1016/j.bas.2026.106270},
url = {https://doi.org/10.1016/j.bas.2026.106270}
}RIS
TY - JOUR TI - Admission laboratory parameters for early risk stratification after aneurysmal subarachnoid hemorrhage: a machine learning analysis of real-world data AU - Anton Früh AU - Nora Dengler AU - Cihat Karadag AU - Paul Pöser AU - Peter Vajkoczy AU - Stefan Wolf PY - 2026 JO - Brain and Spine DO - 10.1016/j.bas.2026.106270 UR - https://doi.org/10.1016/j.bas.2026.106270 ER -
APA
Früh, A., Dengler, N., Karadag, C., Pöser, P., Vajkoczy, P., & Wolf, S. (2026). Admission laboratory parameters for early risk stratification after aneurysmal subarachnoid hemorrhage: a machine learning analysis of real-world data. Brain and Spine. https://doi.org/10.1016/j.bas.2026.106270
Source records
- crossref · retrieved 2026-09-26T02:56:59.824Z